Knowledge Hut

MARCH 26, 2024

Growing Technology Landscape: With the rapid advancements in technology, there's an increasing demand for professionals who can design and implement complex IT solutions. Role Level: Typically a senior-level position requiring extensive experience in architecture design and implementation across various domains and industries.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

DareData

JANUARY 30, 2023

Learning SQL / NoSQL and how major orchestrators work will definitely narrow the gap between the quality model training and model deployment. Airflow is written in Python and has a web-based user interface for managing and monitoring pipelines. AWS Glue: A fully managed data orchestrator service offered by Amazon Web Services (AWS).

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Knowledge Hut

NOVEMBER 17, 2023

Amazon Web Services (AWS) delivers on-demand computing resources and facilities in the cloud. Amazon RDS allows access to several acquainted database engines, including Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server. Amazon Web Services have completely changing the landscape of cloud services.

AWS 52

AWS Amazon Web Services PostgreSQL Relational Database 52

Knowledge Hut

DECEMBER 26, 2023

Building data systems and pipelines Data pipelines refer to the design systems used to capture, clean, transform and route data to different destination systems, which data scientists can later use to analyze and gain information. The average salary of a Data Engineer in Amazon is $109,000.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

JULY 26, 2023

Database applications are software programs or systems that are designed to organize and efficiently store, handle, and retrieve vast amounts of data. MongoDB's document-oriented design makes it ideal for dealing with complicated data models and changing data requirements. What are Database Applications?

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

JULY 31, 2023

Among the leading platforms for cloud computing is Amazon Web Services (AWS), which has transformed organizations and IT professionals worldwide. Amazon Elastic Block Store (EBS): EBS deals with block-level storage facilities used along with Amazon EC2 and can greatly benefit AWS operations.

AWS 52

AWS Amazon Web Services Cloud Computing Consulting 52

Knowledge Hut

MARCH 20, 2024

A software engineer is a specialist who works on software systems, including their design, development, testing, and management. Usually working in groups, software engineers collaborate with designers, project managers, and quality assurance specialists. You can learn easily from various Web Design and Development courses online.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Edureka

FEBRUARY 8, 2024

Introduction to AWS Instance Types Amazon Web Services (AWS) offers a diverse range of instance types, each tailored to specific computing needs and optimized for various workloads. Catering to Different Workload Requirements- AWS instance types are designed to address a wide spectrum of workload requirements.

AWS 52

AWS NoSQL Deep Learning Datasets 52

Knowledge Hut

DECEMBER 26, 2023

Amazon - Amazon's cloud-based platform is well-known. Data warehouses that work with Amazon Web Services include the DynamoDB Big Data database, Redshift, and NoSQL. Big data has helped Starbucks to streamline its supply chain, optimize its store layout and design, and better target its marketing.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Knowledge Hut

NOVEMBER 28, 2023

Data engineers design, manage, test, maintain, store, and work on the data infrastructure that allows easy access to structured and unstructured data. Cloud Data engineering is all about designing, programming, and testing software, which is required for modern database solutions. What do Data Engineers Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

OCTOBER 8, 2023

In the cloud services and data engineering space, Amazon Web Services (AWS) is the leader, with a market share of 32%. You must be proficient in NoSQL and SQL for data engineers to help with database management. Data engineers must design efficient pipelines for easy transfer of data.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

Rockset

DECEMBER 31, 2022

Instead, databases such as DynamoDB have been designed to manage the new influx of data. DynamoDB is an Amazon Web Services database system that supports data structures and key-valued cloud services. Along with the complexity of modern business comes the need to process data faster and more robustly.

Non-relational Database 52

Non-relational Database Healthcare Amazon Web Services NoSQL 52

Knowledge Hut

APRIL 25, 2023

Data engineers add meaning to the data for companies, be it by designing infrastructure or developing algorithms. Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases. Some of its key features are mentioned here.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

ProjectPro

SEPTEMBER 6, 2021

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. Let’s get started! Launched in 2006.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Knowledge Hut

DECEMBER 5, 2023

System Engineers are professionals who design, implement, and manage complex systems and infrastructure to ensure they operate efficiently and effectively. Hard Skills System engineers require a strong set of hard skills to design, implement, and manage complex IT systems and infrastructure effectively.

Systems 52

Systems Engineering Recruitment Electronics 52

Knowledge Hut

JUNE 20, 2023

Apache Spark, Microsoft Azure, Amazon Web services, etc. While they might be more experienced than most data engineers, they need a solid understanding of systems design. The target is to gather, design, and then position it into models developed by them or found. They develop self-running software.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 25, 2022

Is python suitable for machine learning pipeline design patterns? For storing data, use NoSQL databases as they are an excellent choice for keeping massive amounts of rapidly evolving organized/unorganized data. AWS (Amazon Web Services) is the cloud provider in this project.

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

ProjectPro

JULY 30, 2021

On-Demand design saves customer’s overhead and provides easy scalability. Map-reduce - Map-reduce enables users to use resizable Hadoop clusters within Amazon infrastructure. Cloud-Native are technologies and services built to leverage cloud architecture. What are some examples of popularly used Cloud Computing services?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

SEPTEMBER 26, 2021

They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection. You must have good knowledge of the SQL and NoSQL database systems. NoSQL databases are also gaining popularity owing to the additional capabilities offered by such databases.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Confluent

MARCH 4, 2019

Thus, they created different Terraform scripts for each cloud provider that would be offered as an option, such as Amazon Web Services (AWS) , Google Cloud and Microsoft Azure. This layer was implemented using a combination of Docker and Kubernetes , and certainly was one of the best design decisions that the team ever made.

Cloud 86

Cloud Banking Kafka NoSQL 86

ProjectPro

JANUARY 19, 2022

Data Engineering refers to creating practical designs for systems that can extract, keep, and inspect data at a large scale. The three most popular cloud service providing platforms are Google Cloud Platform, Amazon Web Services, and Microsoft Azure. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JULY 3, 2023

Like, in-memory databases, NoSQL databases, data lakes, or cloud-based storage, depending upon the requirements of the organization. Amazon Kinesis: Amazon Kinesis is a fully managed service offered by Amazon Web Services (AWS) for real-time streaming data ingestion and processing.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

Knowledge Hut

DECEMBER 27, 2023

Often stored in computer databases or the cloud and is analyzed using software specifically designed to handle large, complex data sets. This is one of the most popular big data tools used by most Fortune 50 companies, including Amazon Web services, Hortonworks, IBM, Intel, Microsoft and Facebook among others.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

AUGUST 31, 2018

Research firm Gartner published a document stating that Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and IBM Cloud are innovative tech giants that provide highly cost-competitive alternatives to conventional on-premises hosting infrastructures. over the next decade.

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

ProjectPro

AUGUST 9, 2018

Features Amazon RDS Redshift Dynamo DB Computing Resources Instances with 64 vCPU and 244 GB RAM Nodes with vCPU and 244 GB RAM Not specified, SaaS-Software as a Service. An organization wants to deploy a two-tier web application on AWS. The access logs are delivered to designated target S3 buckets on a best-effort basis.

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

ProjectPro

DECEMBER 10, 2021

It is a cloud-based NoSQL database that deals mainly with modern app development. Azure Service Fabric is a parallel processing platform that ensures simple packaging, smooth deployment, and efficient handling of robust and reliable microservices and containers. Service Fabric allows you to create microservice-based applications.

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

APRIL 20, 2017

Problem Statement In this Hadoop project, you can design an OLAP cube for the AdventureWorks database and build it using Apache Kylin. How small file problems in streaming can be resolved using a NoSQL database. And, after you are done preparing the list, you will want to set your priorities and design the itinerary accordingly.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

MARCH 16, 2015

Healthcare informatics also contributes to the development of Big Data analytic technology by posing novel challenges in terms of data knowledge representation, database design, data querying and clinical decision support. The upswing for big data in healthcare industry is due to the falling cost of storage.

Healthcare 40

Healthcare Big Data Project Hospitality 40